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  • Logistic Regression with a Neural Network mindset

  • Custom Layers in Tensorflow 2

  • Custom Loss Function in Tensorflow 2.

  • Practice with the Tensorflow 2 Functional API.

  • VAE for the CelebA dataset

  • KL Divergence Layers

  • Maximizing the ELBO

  • Minimizing Kullback-Leibler Divergence

  • Encoders and decoders

  • RealNVP for the LSUN bedroom dataset

  • AutoRegressive flows and RealNVP

  • Subclassing Bijectors

  • The TransformedDistribution class

  • Bijectors

  • Bayesian Convolutional Neural Network

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